In this episode, we take a critical look at one of the most pressing questions in digital health: Can we truly trust AI in healthcare? With the rapid rise of AI-powered tools promising efficiency and accuracy, it’s easy to overlook a key issue—bias. Drawing from a recent study in npj Digital Medicine, Anca explores how AI systems can unintentionally perpetuate health disparities and what steps we can take to prevent them.

Topics Covered:

• How bias infiltrates AI systems through data, algorithms, and deployment

• Real-world consequences of biased AI tools in diagnosis and treatment

• Examples of disparities in dermatology and risk prediction models

• Strategies to mitigate bias, including diverse data collection and explainable AI

• The ethical debate: Can AI help eliminate or worsen existing inequalities in healthcare?

Credits:
Production: MedShake Studio
Host: Anca Petre

✔ Stay connected and learn more:

• LinkedIn: linkedin.com/in/ancapetre

• Website: www.ancapetre.com & www.medshake-studio.com

• Email: [email protected]

More about the podcast:
Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.

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